MLD3: Machine Learning for Data-Driven Decisions, University of Michigan

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47 repositories

FIDDLE
Public
FlexIble Data-Driven pipeLinE – a preprocessing pipeline that transforms structured EHR data into feature vectors to be used with ML algorithms. https://doi.org/10.1093/jamia/ocaa139
data-science machine-learning preprocessing electronic-health-records jamia
Jupyter Notebook
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MIT License
•19•96•6•0•Updated Jun 25, 2025Jun 25, 2025
cv_unstable_correlations
Public
The official codebase accompanying the KDD 2025 paper “Cross-Validation for Longitudinal Datasets with Unstable Correlations.”
Jupyter Notebook
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Other
•0•0•0•0•Updated Jun 20, 2025Jun 20, 2025
LobsterNet
Public
[CHIL 2025] Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-compliance
Jupyter Notebook
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Apache License 2.0
•0•2•0•0•Updated Jun 20, 2025Jun 20, 2025
steerability
Public
An open-source evaluation framework for measuring LLM steerability.
llm llm-evaluation llm-evaluation-framework
Jupyter Notebook
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MIT License
•0•2•0•0•Updated Jun 2, 2025Jun 2, 2025
ACDComorbidityEffects
Public
Code for estimating the effects of comorbidities on the risk of all cause dementia.
Python
•0•0•0•0•Updated May 23, 2025May 23, 2025
LearningLaplacianPEs
Public
[AISTATS 2025] Learning Laplacian Positional Encodings for Heterophilous Graphs
Python
•0•1•0•0•Updated Mar 11, 2025Mar 11, 2025
UnderstandingDynamicGraphs
Public
[AISTATS 2025] Understanding GNNs and Homophily in Dynamic Node Classification
Jupyter Notebook
•0•0•0•0•Updated Mar 11, 2025Mar 11, 2025
SAMultipleNoisyLabels
Public
Survival Analysis with Multiple Noisy Labels
Python
•0•1•0•0•Updated Nov 14, 2024Nov 14, 2024
gaming_detection
Public
[NeurIPS 2024] Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
Jupyter Notebook
•0•2•0•0•Updated Oct 4, 2024Oct 4, 2024
DCEM
Public
[ICML 2024] From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
Python
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MIT License
•0•3•1•0•Updated Sep 13, 2024Sep 13, 2024
DEPICT
Public
MIT License
•0•1•0•0•Updated Sep 5, 2024Sep 5, 2024
mld3.github.io
Public
Lab website
JavaScript
•0•0•0•0•Updated Aug 2, 2024Aug 2, 2024
PROP-RL
Public
Optimizing Loop Diuretic Treatment in Hospitalized Patients: A Case Study in Practical Application of Offline Reinforcement Learning to Healthcare
Python
•0•2•0•0•Updated Jul 2, 2024Jul 2, 2024
MILwAPI
Public
Code and Additional Information for "Multiple Instance Learning with Absolute Position Information"
Jupyter Notebook
•0•2•0•0•Updated Apr 26, 2024Apr 26, 2024
Learning-to-Rank-for-Optimal-Treatment-Allocation-Under-Resource-Constraints
Public
Python
•2•1•0•0•Updated Feb 20, 2024Feb 20, 2024
CounterfactualAnnot-SemiOPE
Public
[NeurIPS 2023] Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation. https://arxiv.org/abs/2310.17146
off-policy-evaluation offline-reinforcement-learning counterfactual-reasoning neurips-2023
Jupyter Notebook
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MIT License
•2•1•0•0•Updated Nov 2, 2023Nov 2, 2023
ConceptCredibleModel
Public
Jupyter Notebook
•0•0•0•0•Updated Aug 7, 2023Aug 7, 2023
Instance_Dependent_Label_Noise
Public
Code for "Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise" in CHIL 2023
Python
•0•0•0•0•Updated Jul 10, 2023Jul 10, 2023
Hierarchical_Survival_Analysis
Public
Python
•2•5•0•0•Updated Jul 10, 2023Jul 10, 2023
denoising-autoencoders-for-learning-from-noisy-patient-reported-data
Public
Python
•1•0•0•0•Updated Apr 13, 2023Apr 13, 2023
sparse-informative-variables
Public
Python
•0•3•0•0•Updated Jan 3, 2023Jan 3, 2023
disparate_censorship
Public
Jupyter Notebook
•0•1•0•0•Updated Jan 3, 2023Jan 3, 2023
OfflineRL_FactoredActions
Public
[NeurIPS 2022] Leveraging Factored Action Spaces for Efficient Offline RL in Healthcare.
healthcare neurips-2022 reinforcement-learning
Jupyter Notebook
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MIT License
•0•10•0•0•Updated Nov 27, 2022Nov 27, 2022
Calibrated-Survival-Analysis
Public
Code Release for "Estimating Calibrated Individualized Survival Curves with Deep Learning" (Kamran & Wiens), AAAI 2021. https://www.aaai.org/AAAI21Papers/AAAI-8472.KamranF.pdf
survival-analysis
Python
•0•4•0•0•Updated Nov 17, 2022Nov 17, 2022
OfflineRL_ModelSelection
Public
[MLHC 2021] Model Selection for Offline RL: Practical Considerations for Healthcare Settings. https://arxiv.org/abs/2107.11003
model-selection healthcare-application offline-rl mlhc-2021 reinforcement-learning
Jupyter Notebook
•5•9•0•0•Updated Oct 6, 2022Oct 6, 2022
Deep-Learning-Applied-to-Chest-X-rays-Exploiting-and-Preventing-Shortcuts
Public
[MLHC 2020] Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts (Jabbour, Fouhey, Kazerooni, Sjoding, Wiens). https://arxiv.org/abs/2009.10132
algorithmic-bias chest-x-ray mlhc-2020 deep-learning
Jupyter Notebook
•2•8•0•0•Updated Oct 4, 2022Oct 4, 2022
FIDDLE-experiments
Public
Experiments applying FIDDLE on MIMIC-III and eICU. https://doi.org/10.1093/jamia/ocaa139
Jupyter Notebook
•7•25•1•0•Updated Jul 12, 2022Jul 12, 2022
AMAISE
Public
The source code for AMAISE: A Machine Learning Approach to Index-Free Sequence Enrichment and the accession codes for the data used to train and test AMAISE.
Python
•3•2•0•0•Updated Jun 8, 2022Jun 8, 2022
M-CURES
Public
"Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study" (Kamran, Tang, et al.), BMJ 2022.
Python
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MIT License
•2•10•0•0•Updated Apr 19, 2022Apr 19, 2022
credible_learning
Public
[KDD 2018] Learning Credible Models
Python
•1•0•0•0•Updated Feb 16, 2022Feb 16, 2022